R Programming for Statistics and Data Science - Categorical Data

R Programming for Statistics and Data Science - Categorical Data

Assessment

Interactive Video

Statistics

10th - 11th Grade

Hard

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The video tutorial introduces categorical variables, explaining their significance in data science. It covers examples like education and ethnicity, highlighting the concept of levels within these variables, which can be ordinal or nominal. The tutorial also discusses the application of categorical variables in fields like medical trials and introduces R's factor function for handling these variables.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of dummy coding in statistics?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how R handles categorical data and the role of the factor function.

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